This analysis highlights insights on child fuel poverty in the UK, suggesting new policy implementations.
ObjectivesAdministrative data hold great potential for generating evidence for policy supporting issues and government missions. Our initial explorations typically examine whether the variables and indexes within the data held on the Integrated Data Service (IDS) provide a viable way to link this data, giving new policy insights to address issues. MethodsWithin IDS we essentially have three major spines, one Demographic index is basically a spine of all people in the UK, the Business index for businesses and the Address index covers all UPRN level addresses. The interesting part, of course, comes as a result of linking between those spines with data like the Census 2011/2021, Births, Labour Force Survey and HMRC’s PAYE RTI to name a few. This potentially unlocks the answers to policy questions from across government, vis-a-vis, household composition, or health and educational outcomes and much, much more. ResultThe IDS is a cross-government initiative, designed to transform the way de-identified data is made available for vital research and decision-making about our society and economy. Working collaboratively and using the power of linked data within the IDS, with key datasets acting as the spine of this research, we plan to provide policy makers with robust and collaborative evidence, to inform the decisions made across UK to improve people’s lives. This is an opportunity to engage with the research community and explore a new approach for IDS and ONS’s TRE offering. For example, we have recently commenced some fascinating research around child fuel poverty and this will accelerate throughout 2025. By the time of the conference, interesting insights and analysis will be ready to share with delegates. ConclusionThis project improves understanding of Britain’s fuel poverty, the types of homes and households with children affected, economic drivers and geographic areas most impacted. Policy interventions, such as social tariffs, to alleviate hardship form part of the analysis. In time, health and educational outcomes could form part of iterative research.
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Yule et al. (2025) studied this question.
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